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Test Effectiveness Evaluation of Prioritized Combinatorial Testing: A Case Study
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2016 (English)In: 2016 IEEE Int. Conf. on Software Quality, Reliability and Security (QRS 2016), IEEE conference proceedings, 2016, p. 61-68Conference paper, Published paper (Refereed)
Abstract [en]

Combinatorial testing is a widely-used technique to detect system interaction failures. To improve test effectiveness with given priority weights of parameter values in a system under test, prioritized combinatorial testing constructs test suites where highly weighted parameter values appear earlier or more frequently. Such order-focused and frequency-focused combinatorial test generation algorithms have been evaluated using metrics called weight coverage and KL divergence but not sufficiently with fault detection effectiveness so far. We evaluate the fault detection effectiveness on a collection of open source utilities, applying prioritized combinatorial test generation and investigating its correlation with weight coverage and KL divergence.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016. p. 61-68
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-199094DOI: 10.1109/QRS.2016.17ISI: 000386751700007Scopus ID: 2-s2.0-84995388349OAI: oai:DiVA.org:kth-199094DiVA, id: diva2:1062022
Conference
2016 IEEE Int. Conf. on Software Quality, Reliability and Security (QRS 2016)
Note

QC 20170109

Available from: 2017-01-04 Created: 2016-12-28 Last updated: 2018-01-13Bibliographically approved

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fulltext(278 kB)37 downloads
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Publisher's full textScopushttp://ieeexplore.ieee.org/document/7589785/

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Artho, Cyrille
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf